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Problem solution · C++

Maximum Number of Items from Sale II

Maximum Number of Items from Sale II: a C++ solution using direct simulation. Learn the idea, check the complexity, and read the full code, with credit to Kamyu LeetCode Solutions.

Technique
Direct simulation
Source
Kamyu LeetCode Solutions
Length
51 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Direct simulation

For Maximum Number of Items from Sale II, the implementation follows the problem’s operations directly while maintaining only the state needed for the next decision.

  1. Translate each rule into one explicit state update.
  2. Maintain the invariant after every processed item.
  3. Return the accumulated state once all relevant input has been handled.

Code notes

  • 51 lines of C++ from the credited upstream file maximum-number-of-items-from-sale-ii.cpp.
  • The implementation visibly relies on sequence storage, ordered lookup.
  • 7 loop blocks detected.

Complexity

Count the number and nesting of passes over the input, then include the maintained containers in the memory estimate.

Check the problem constraints before deciding whether this complexity will pass.

Source

Code and credit

This code comes from Kamyu LeetCode Solutions by kamyu104 and is used under the MIT licence.

Open problem ↗Original source ↗
Full codeMaximum Number of Items from Sale II · C++C++
Use this to learn the idea, then write your own version.
// Time:  O(rlogr + nlogn) = O(nlogn), r = max(f for f, _ in items) <= n// Space: O(r + n) = O(n) // freq table, sort, greedyclass Solution {public:    int maximumSaleItems(vector<vector<int>>& items, int budget) {        static const int NEG_INF = numeric_limits<int>::min();         int max_f = 0;        for (const auto& x : items) {            max_f = max(max_f, x[0]);        }        vector<int> cnt(max_f + 1);        for (const auto& x : items) {            ++cnt[x[0]];        }        vector<int> total(size(cnt));        for (int i = 1; i < size(cnt); ++i) {            if (!cnt[i]) {                continue;            }            for (int j = i; j < size(cnt); j += i) {                total[i] += cnt[j];            }        }        int min_p = numeric_limits<int>::max();        for (const auto& x : items) {            min_p = min(min_p, x[1]);        }        map<int, int64_t> group;        for (const auto& x : items) {            if (x[1] >= 2 * min_p) {                continue;            }            group[x[1]] += total[x[0]] - 1;        }        int result = 0;        for (const auto& [p, x] : group) {            const auto c = min(static_cast<int64_t>(budget) / p, x);            result += 2 * c;            budget -= c * p;            if (budget < p) {                break;            }        }        result += budget / min_p;        return result;    }};

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